Work Experience

Senior Manager Advanced Analytics

[April 2020 to June 2021]

Shaped a data-driven digital channel strategy (aimed at improving customer engagement with digital channels)
Communicated analyses to influence company direction in all aspects of customer experience and customer journey
Grew analytics team from small supplemental group to thought leaders in the digital channel operations space
Portfolio manager of several Agile product teams delivering customer data products: data collection and quality management, data engineering, data modelling (in AWS framework), & data analysis and business intelligence visualizations
Supported deployment of several production data science models at scale (NLP categorization, propensity of content engagement, customer churn, operational forecast models)
Work with lines of business to determine modelling requirements, resource allocations, and iterative approach to delivery of analytics solution to support business needs
Coaching data professionals and managers across multiple team

[June 2018 to April 2020]

Managed multiple data science projects against aggressive timelines
Hired, supervised, trained, and provided growth feedback for all members of my team
Led deployment of production-ready data science solutions: a product recommendation engine (Logistic Regression, GBDT) and customer intent prediction application(Random Forest, NN)

[September 2017 to June 2018]

Using click stream analytics, devised and implemented predictive models to minimize customer churn and convert into product enhancements for SAAS offerings (Python, R)
Built scalable technical solutions and automated interactive BI dashboards for supply chain group (PySpark, SQL, Bash, Tableau)

[June 2015 to September 2017]

Led data stewardship responsibilities and custom query requests across lines of business
Collaborated with software and data engineers to implement and deploy strategic solutions and data remediation strategies
Performed model-tuning of predictive analytics models within patient care sector (i.e., predictive mortality, length of hospital stay, likelihood of complications during hospital stay)

[September 2014 to June 2015]

Conducted time series analyses to automate resource distribution based on past sales (Python, R)
Created dashboards to present sales analysis trends to leadership and stakeholders (VBA)
Mediated data integrity issues between the vendors and internal departments (Python, SQL)

[January 2012 to August 2014 ]

Led research efforts to study the neural-biological underpinnings of cognition and decision-making
Programmed multiple iterations of our computerized experiments (in Python, R, MATLAB, Bash), & integrated innovative new technologies into our tasks (e.g., eyetracker, dynamometer)
Completed ad hoc hypothesis testing of experimental data (Logistic Regression, Pearson correlation) using distributed computing solutions over extensive datasets
Hired, trained, and supervised all research assistants which were executing the experiments

[October 2010 to August 2011]

[October 2010 to August 2011]

[August 2009 to August 2011]